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Related Concept Videos

Quality Assurance01:19

Quality Assurance

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Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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Quality Control01:05

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Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
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Testing Water Quality01:14

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When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
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Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

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Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
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In Vitro Drug Release Testing: Overview, Development and Validation01:10

In Vitro Drug Release Testing: Overview, Development and Validation

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In vitro dissolution and drug release tests assess how quickly and how much of a drug is released from its dosage form into an aqueous medium under standardized laboratory conditions. These tests are essential tools in pharmaceutical development and quality assurance, offering insight into the drug's performance before clinical use.During formulation development, dissolution testing identifies incomplete or inconsistent drug release issues. It also supports decisions on selecting the optimal...
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Data Validation01:15

Data Validation

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Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
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TU-E-218-01: PET/CT QA/QC and Acceptance Testing.

M Dahlbom1,2, O Mawlawi1,2

  • 1UCLA School of Medicine, Los Angeles, CA.

Medical Physics
|May 19, 2017
PubMed
Summary
This summary is machine-generated.

This guide details quality assurance (QA) and quality control (QC) for Positron Emission Tomography/Computed Tomography (PET/CT) scanners. It covers acceptance testing, daily procedures, and manufacturer-specific examples to ensure optimal imaging performance.

Keywords:
Computed tomographyImage scannersMedical diagnosisMedical image qualityMedical imagingNuclear medicine imagingPositron emission tomographyQuality assuranceSignal processingTesting procedures

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Area of Science:

  • Medical Imaging
  • Radiology
  • Nuclear Medicine

Background:

  • Positron Emission Tomography/Computed Tomography (PET/CT) is a standard diagnostic imaging technique.
  • Ensuring optimal performance requires a comprehensive understanding of quality assurance (QA) and quality control (QC) procedures, including acceptance testing.

Purpose of the Study:

  • To provide a detailed explanation of QA and QC procedures for PET/CT scanners.
  • To cover acceptance testing, including NEMA standards and manufacturer-specific examples.
  • To outline the frequency of tests and elements for implementing a robust QA/QC program.

Main Methods:

  • Explanation of signal processing for coincidence detection.
  • Description of daily QA procedures and troubleshooting common failures.
  • Review of scanner calibration processes.
  • Detailed breakdown of NEMA standards for PET scanner acceptance testing.
  • Discussion of recommended tests for hybrid PET/CT systems.

Main Results:

  • Understanding of daily QA components and potential failure points.
  • Knowledge of recommended frequencies for QA/QC tests.
  • Familiarity with NEMA test components and interpretation of results for PET scanners.
  • Insight into additional tests for hybrid PET/CT systems.

Conclusions:

  • A thorough QA/QC program is essential for maintaining the performance of PET/CT scanners.
  • Understanding acceptance testing, including NEMA standards, is crucial for optimal imaging.
  • Regular testing and adherence to protocols ensure reliable diagnostic information from PET/CT.